Advanced R Statistical Programming and Data Models Analysis, Machine Learning, and Visualization /

• Κύριοι συγγραφείς: Wiley, Matt (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Wiley, Joshua F. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Programming languages (Electronic computers).; Computer programming.; Mathematical statistics.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Probability and Statistics in Computer Science.

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples us...

Πίνακας περιεχομένων:

• 1 Univariate Data Visualization
• 2 Multivariate Data Visualization
• 3 Generalized Linear Models 1
• 4 Generalized Linear Models 2
• 5 Generalized Additive Models
• 6 Machine Learning: Introduction
• 7 Machine Learning: Unsupervised
• 8 Machine Learning: Supervised
• 9 Missing Data
• 10 Generalized Linear Mixed Models: Introduction
• 11 Generalized Linear Mixed Models: Linear
• 12 Generalized Linear Mixed Models: Advanced
• 13 Modeling IIV
• Bibliography.